Publications/reseach of Gonzalo Martínez-Muñoz: Machine Learning, Ensembles of Classifiers, Bagging, Boosting, Ensemble Pruning, Decision Trees ...

Multiclass IB lookuptables for finite ensembles

Martínez-Muñoz G.

In Matlab (version >= 7)

SDP pruning and Aggregation Ordered for regression ensembles

Hernández-Lobato D.

In R and C (Required CSDP Software)

Engineering of silicon surfaces at the micro- and nanoscales for cell adhesion and migration control

Torres-Costa, Vicente; Martinez-Munoz, Gonzalo; Sanchez-Vaquero, Vanessa; et al.

In International Journal of Nanomedicine Volume: 7 pages: 623-630, 2012

Inference on the prediction of ensembles of infinite size

Hernández-Lobato D., Martínez-Muñoz G. and Suárez A.

In Pattern Recognition, 44(7), 2011

Empirical analysis and evaluation of approximate techniques for pruning regression bagging ensembles

Hernández-Lobato D., Martínez-Muñoz G. and Suárez A.

In Neurocomputing, 74(12-13), 2011

A Programming Experience of High School Students in a Virtual World Platform

Rico M., Martínez-Muñoz G., Alaman X., Camacho D. and Pulido E.

In International Journal of Engineering Education, 27(1), 1-9, 2011

JCR(2008) = 0.552

Automated processing and identification of benthic invertebrate samples

Lytle D.A., Martínez-Muñoz G., Zhang W., Larios N., Shapiro L., Paasch R., Moldenke A., Mortensen E.N., Todorovic S., and Dietterich T.G.

In Journal of the North American Benthological Society, 29(3), 867–874, 2010

JCR(2008) = 2.36

Out-of-bag estimation of the optimal sample size in bagging

Martínez-Muñoz G. and Suárez A.

In Pattern Recognition, 43(1), 143-152 , 2010

JCR(2008) = 3.279

[pdf]

Statistical Instance-based Pruning in Ensembles of Independent Classifiers

Hernández-Lobato D., Martínez-Muñoz G. and Suárez A.

In IEEE Transactions in Pattern Analysis and Machine Intelligence, 31(2), 364-369, 2009

JCR(2008) = 5.96

An Analysis of Ensemble Pruning Techniques Based on Ordered Aggregation

Martínez-Muñoz G., Hernández-Lobato D. and Suárez A.

In IEEE Transactions in Pattern Analysis and Machine Intelligence, 31(2), 245-259, 2009

JCR(2008) = 5.96

Class-switching Neural Network Ensembles

Martínez-Muñoz G., Sánchez-Martínez A., Hernández-Lobato D. and Suárez A.

In Neurocomputing, 71(13-15), 2521-2528, 2008

JCR(2008) = 1.234

[pdf]

Using Boosting to Prune Bagging Ensembles

Martínez-Muñoz G., Suárez A. 2007.

In Pattern Recognition Letters, 28(1), 156-165

JCR(2007) = 0.853

[ps] [BibTeX]

Switching Class Labels to Generate Classification Ensembles

Martínez-Muñoz G., Suárez A. 2005.

In Pattern Recognition, 38(10), 1483-1494

JCR(2005) = 2.153

[pdf] [BibTeX]

Using All Data to Generate Decision Tree Ensembles

Martínez-Muñoz G., Suárez A. 2004.

In IEEE Transactions on Systems, Man and Cybernetics C, 34(4), 393-397

JCR(2004) = 0.482

[pdf] BibTeX]

Improving the Robustness of Bagging with Reduced Sampling Size

Maryam, Sabzebari, Gonzalo Martínez-Muñoz G. and Suárez A.

In European Symposium on Artificial Neural Networks, Bruges, Belgium, ESANN 2014, (in press).

[pdf]

Statistical Instance-based Ensemble Pruning for Multi-class Problems

Martínez-Muñoz G., Hernández-Lobato D. and Suárez A.

In International Conference on Artificial Neural Networks, Limassol, Cyprus, ICANN 2009, pp. 90-99

[pdf] [Download Matlab source code (for version >=7)]

Dictionary-Free Categorization of Very Similar Objects via Stacked Evidence Trees

Gonzalo Martínez-Muñnoz, Wei Zhang, Nadia Payet, Sinisa Todorovic, Natalia Larios, Asako Yamamuro, David Lytle, Andrew Moldenke, Eric Mortensen, Robert Paasch, Linda Shapiro and Thomas G. Dietterich

In IEEE Conference in Computer Vision and Pattern Recognition, Miami Beach, U.S.A., CVPR 2009, pp 549-556

Out of Bootstrap Estimation of Generalization Error Curves in Bagging Ensembles

Hernández-Lobato D., Martínez-Muñoz G. and Suárez A.

In 8th International Conference on Intelligent Data Engineering and Automated Learning, Birmingham, UK, IDEAL 2007, LNCS 4881, pp. 47-56.

[pdf]

Selection of Decision Stumps in Bagging Ensembles

Martínez-Muñoz G., Hernández-Lobato D. and Suárez A.

In International Conference on Artificial Neural Networks, Porto, Portugal, ICANN 2007, Part I, LNCS 4668, pp. 319-328, 2007, ISBN 978-3-540-74689-8

[pdf]

Evaluation of Decision Tree Pruning with Subadditive Penalties

García-Moratilla S., Martínez-Muñoz G. and Suárez A.

In 7th Intelligent Data Engineering and Automated Learning, Burgos, Spain, IDEAL 2006, LNCS 4224, pp. 995-1002, 2006, ISBN 978-3-540-45485-4

[pdf] [BibTeX]

Building Ensembles of Neural Networks with Class-switching

Martínez-Muñoz G., Sánchez-Martínez A., Hernández-Lobato D. and Suárez A.

In International Conference on Artificial Neural Networks, Athens, Greece, ICANN 2006, Part I, LNCS 4131, pp. 178-187, 2006, ISBN 3-540-38625-4

[pdf] [BibTeX]

Pruning in Ordered Bagging Ensembles

Martínez-Muñoz G., Suárez A.

In proceedings of the 23rd International Conference in Machine Learning (ICML-2006) Pittsburgh, USA , In ACM International Conference Proceeding Series, Vol. 148, pages: 609-616, ISBN 1-59593-383-2

[pdf] [BibTeX]

Pruning in Ordered Regression Bagging Ensembles

Hernández-Lobato D., Martínez-Muñoz G., Suárez A.

In proceedings of International Joint Conference on Neural Networks, IJCNN 2006, pp. 1266-1273

[pdf] [BibTeX]

Comités de árboles IGP

Martínez-Muñoz G., Suárez A.

In Actas del I simposio de inteligencia computacional - CEDI 2005, Thomson Press, pages: 277-283, ISBN 84-9732-444-7

[pdf (in spanish)] [BibTeX]

Aggregation Ordering in Bagging

Martínez-Muñoz G., Suárez A.

In Proc. of the IASTED International Conference on Artificial Intelligence and Applications 2004, Acta Press, 258-263

[pdf] [BibTeX]

Using All Data to Generate Decision Tree Ensembles

Martínez-Muñoz G., Suárez A.

In Proc. of learning'02

[BibTeX]